Background: Approximately 13% of persons with HIV (PWH) are unaware of their status. To help end HIV, it is important to understand the relationship between the rates of HIV testing and undiagnosed HIV infection. Setting: Ending the HIV in the U.S. (EHE) jurisdictions Methods: Using 2021 data from the National HIV Surveillance System and the National HIV Prevention Program Monitoring and Evaluation system, we calculated estimated rates of undiagnosed HIV infections per 100,000 population and rates of CDC-funded HIV tests per 1,000 population. We assessed the association between the two rates using Spearman’s rank correlation. We also calculated a rank difference between the two rates for each EHE jurisdiction to help identify jurisdictions with greater unfilled needs for HIV testing. Results: Overall, CDC-funded HIV tests per 1,000 population were positively associated with estimated rate of undiagnosed HIV infection per 100,000 population (rho=0.55, p<0.001). EHE jurisdictions with the greatest magnitude of negative rank differences (i.e., higher undiagnosed HIV infection per 100,000 population and lower CDC-funded HIV tests per 1,000 population) were Prince George’s County, MD; Mecklenburg County, NC; Hudson County, NJ; Bronx County, NY, and Hamilton County, OH. Conclusions: In general, CDC-funded HIV testing is being conducted in jurisdictions with the greatest needs. However, we also found large discrepancies between CDC-funded HIV testing and undiagnosed HIV infection rates for some jurisdictions. These jurisdictions may want to identify barriers to their HIV testing services and expand their programs to ensure that all PWH in their jurisdictions are diagnosed.

The purpose of this analysis is to describe HIV tests and associated outcomes for Asian people reached by the Centers for Disease Control and Prevention (CDC) HIV testing program. We analyzed CDC-funded HIV tests among Asian individuals in the United States, Puerto Rico, and the U.S. Virgin Islands (2014-2020). Of the 415,560 tests, the positivity of new diagnoses was higher among males (0.49%, aPR = 7.64) than females (0.06%), and in the West (0.42%, aPR = 1.15) than in the South (0.25%). In non-health care settings, positivity was highest among men who have sex with men (MSM; 0.87%) and transgender people (0.46%). Linkage to HIV medical care among Asian people was 87.5%, and 70.7% were interviewed for partner services. Our findings suggest that improvements are crucial, particularly for Asian MSM, in linkage to care and interview for partner services.

Background: To achieve Ending the HIV Epidemic goals, key populations, including sexual minority men, need to adhere to evidence-based biomedical interventions including antiretroviral therapy as treatment (ART) or preexposure prophylaxis (PrEP). The present study integrates traditional and machine learning methods to evaluate whether a common set of factors can predict adherence to ART for both treatment and prevention. Method: Participants included 365 sexual minority men taking antiretroviral therapy as treatment or PrEP in South Florida. Survey respondents provided information on adherence to treatment or PrEP and demographic, psychosocial, and behavioral factors potentially associated with adherence. Data were analyzed using machine learning algorithms that are simple to interpret such as Classification and Regression Tree and LASSO regression variable selection, techniques that require specialized extra steps to look inside “black box models” like Multivariate Adaptive Regression Spline (MARS) and Random Forest models, and traditional stepwise logistic regression to identify factors associated with adherence. Results: Taking ART for HIV treatment or PrEP was not an important predictor for adherence in any of the models. Rather, the models suggested that a common set of predictors can be used to predict adherence to ART for both treatment and PrEP. Race/ethnicity was identified by all models as an important predictor of adherence. Additionally, depressive symptoms, anxiety symptoms

We performed an ecological analysis to examine associations between CDC-funded HIV testing services outcomes and social determinants of health (SDOH) among Ending the HIV Epidemic in the U.S. jurisdictions. Using National HIV Prevention Program Monitoring & Evaluation (2020) and American Community Survey (2016-2020) data, we ran robust Poisson models (adjusted for race/ethnicity). In healthcare settings, a 10% absolute increase in percentage without health insurance was associated with a 40% lower prevalence of newly diagnosed positivity (aPR = 0.60, 95% CI: 0.43-0.83); a $5,000 increase in median household income (aPR = 1.04, 95% CI: 1.03-1.06) and a 10% absolute increase in percentage unemployed (aPR = 1.80, 95% CI: 1.31-2.46) were associated with 4% and 80%, respectively, higher prevalence of percentage linked to HIV medical care within 30 days of diagnosis (i.e., linkage). In non-healthcare settings, a 10% absolute increase in percentage with less than high school diploma (aPR = 0.53, 95% CI: 0.29-0.96) was associated with a 47% lower prevalence of newly diagnosed positivity, whereas a 10% absolute increase in percentage without health insurance (aPR = 1.92, 95% CI: 1.29-2.88) was associated with a 92% higher prevalence of newly diagnosed positivity; a 10% absolute increase in percentage with less than high school diploma was associated with a 35% lower prevalence of linkage (aPR = 0.65, 95% CI: 0.43-0.97). Addressing SDOH in HIV prevention programs will play an important role in ending the HIV epidemic.

Background: Organizations offering HIV prevention services have reported interruptions during the COVID-19 pandemic. The national extent of these interruptions and their public health impact remain largely unexplored. Methods: Using data from 60 state and local health departments, we compared HIV testing services outcomes in calendar years 2019 and 2020, including the number of Centers for Disease Control and Prevention (CDC)-funded HIV tests conducted, the percentage of persons with newly diagnosed HIV infection (ie, HIV positivity), and the percentage linked to HIV medical care within 30 days after new diagnoses (ie, linkage to care) using χ2 and robust Poisson models. We also assessed the independent associations between the pandemic period (ie, March—December 2020) and the number of COVID-19 cases with monthly HIV testing services outcomes using multivariable robust Poisson models. Results: There was a 46.0% (P < 0.001) reduction in the number of CDC-funded HIV tests conducted in 2020 (n = 1,255,895) compared with 2019 (n = 2,324,421). Although there were fewer persons with newly diagnosed HIV in 2020 (n = 5581 vs. n = 7739 in 2019), HIV positivity was greater in 2020 (0.4% vs. 0.3% in 2019; adjusted prevalence ratio [aPR] = 1.33, 95% confidence interval [CI]: 1.05 to 1.69). When adjusting for the monthly number of COVID-19 cases, the pandemic period was associated with a 56% reduction in the number of monthly CDC-funded HIV tests (adjusted rate ratio = 0.44, 95% CI: 0.37 to 0.52) but 28% higher monthly HIV positivity (aPR = 1.28 95% CI: 1.16 to 1.41) and 10% higher linkage to care (aPR = 1.10, 95% CI: 1.02 to 1.18). Discussion: Despite increased HIV positivity, a drastic reduction in the number of CDC-funded HIV tests was observed in 2020, affecting the ability to identify persons with newly diagnosed HIV. CDC and health departments will need to expand testing strategies to cover tests not conducted in 2020 while adapting to the continuing pandemic. A visual abstract is available for this article at: http://links.lww.com/QAI/B941

Up to 50% of those diagnosed with HIV in the U.S. are not retained in medical care. Care retention provides opportunity to monitor benefits of HIV therapy and enable viral suppression. To increase retention, there is a need to prioritize best practices appropriate for translation and dissemination for real-world implementation. Eighteen interventions from CDC's Compendium of Evidence-Based Interventions were scored using the RE-AIM framework to determine those most suitable for dissemination. A CDC Division of HIV Prevention workgroup developed a RE-AIM scale with emphasis on the Implementation and Maintenance dimensions and less emphasis on the Efficacy dimension since all 18 interventions were already identified as evidence-based or evidence-informed. Raters referenced primary efficacy publications and scores were averaged for a ranked RE-AIM score for interventions. Of 18 interventions, four included care linkage and 7 included viral suppression outcomes. Interventions received between 20.6 and 35.3 points (45 maximum). Scores were converted into a percentage of the total possible with ranges between 45.8 and 78.4%. Top four interventions were ARTAS (78.4%); Routine Screening for HIV (RUSH) (73.2%); Optn4Life (67.4%) and Virology Fast Track (65.9%). All four scored high on Implementation and Maintenance dimensions. Select items within the scale were applicable to health equity, covering topics such as reaching under-served focus populations and acceptability to that population. Navigation-enhanced Case Management (NAV) scored highest on the health equity subscale. RE-AIM prioritization scores will inform dissemination and translation efforts, help clinical staff select feasible interventions for implementation, and support sustainability for those interventions.

INTRODUCTION:In January 2019, the West Virginia Bureau for Public Health detected increased HIV diagnoses among people who inject drugs in Cabell County. Responding to HIV clusters and outbreaks is 1 of the 4 pillars of the Ending the HIV Epidemic in the U.S. initiative and requires activities from the Diagnose, Treat, and Prevent pillars. This article describes the design and implementation of a comprehensive response, featuring interventions from all pillars. METHODS:This study used West Virginia Bureau for Public Health data to identify HIV diagnoses during January 1, 2018-October 9, 2019 among (1) people who inject drugs linked to Cabell County, (2) their sex or injecting partners, or (3) others with an HIV sequence linked to Cabell County people who inject drugs. Surveillance data, including HIV-1 polymerase sequences, were analyzed to estimate the transmission rate and timing of infections using molecular clock phylogenetic analysis. Federal, state, and local partners designed and implemented a comprehensive response during January 2019-October 2019. RESULTS:Of 82 people identified in the outbreak, most were male (60%), were White (91%), and reported unstable housing (80%). In a large molecular cluster containing 56 of 60 (93%) available sequences, 93% of inferred transmissions occurred after January 1, 2018. HIV testing, HIV pre-exposure prophylaxis, and syringe services were rapidly expanded, leading to improved linkage to HIV care and viral suppression. CONCLUSIONS:Evidence of rapid transmission in this outbreak galvanized robust collaboration among federal, state, and local partners, leading to critical improvements in HIV prevention and care services. HIV outbreak response requires increased coordination and creativity to improve service delivery to people affected by rapid HIV transmission.

A recent human immunodeficiency virus (HIV) outbreak among people who inject drugs in Cabell County, West Virginia, underscores the importance of HIV prevention, diagnosis, and care in communities with high rates of substance use disorder.

Background Few data on intracranial group A Streptococcus (GAS) infection in children are available. Here, we describe the demographic, clinical, and diagnostic characteristics of 91 children with intracranial GAS infection. Methods Cases of intracranial GAS infection in persons ≤18 years of age reported between 1997 and 2014 were identified by the Centers for Disease Control and Prevention's population- and laboratory-based Active Bacterial Core surveillance (ABCs) system. Medical charts were abstracted using a active, standardized case report form. All available isolates were emm typed. US census data were used to calculate rates. Results ABCs identified 2596 children with invasive GAS infection over an 18-year period; 91 (3.5%) had an intracranial infection. Intracranial infections were most frequent during the winter months and among children aged <1 year. The average annual incidence was 0.07 cases per 100000 children. For 83 patients for whom information for further classification was available, the principal clinical presentations included meningitis (35 [42%]), intracranial infection after otitis media, mastoiditis, or sinusitis (34 [41%]), and ventriculoperitoneal shunt infection (14 [17%]). Seven (8%) of these infections progressed to streptococcal toxic shock syndrome. The overall case fatality rate was 15%. GAS emm types 1 (31% of available isolates) and 12 (13% of available isolates) were most common. Conclusions Pediatric intracranial (GAS) infections are uncommon but often severe. Risk factors for intracranial GAS infection include the presence of a ventriculoperitoneal shunt and contiguous infections in the middle ear or sinuses.

Young men who have sex with men (MSM) of color are at increased risk for HIV infection. Mpowerment (MP) is an intervention designed to reduce risky sexual behavior and increase HIV testing among young MSM ages 18-29. From 2009 to 2012, three community-based organizations with support from the U.S. Centers for Disease Control and Prevention evaluated MP among N = 298 participants. Following a repeated measures design, data from 3- and 6-month follow-ups were compared to baseline. HIV testing and self-efficacy for safer sex increased at both follow-up time points; self-acceptance as an MSM was higher at follow-up 2. Condomless anal/vaginal sex was lower at follow-up 1 only. Frequency of exchange of safer sex messages among gay/bisexual/transgender friends was lower at follow-up 1, but similar to baseline at follow-up 2. Exposure to MP was associated with improved perceived positive social norms about safer sex and safer sex messages among gay/bisexual/transgender friends.

Pneumococcal infections increase each winter, a phenomenon that has not been well explained. We conducted population-based active surveillance for all cases of invasive pneumococcal disease in seven states; plotted annualized weekly rates by geographic location, age, and latitude; and assessed correlations by time-series analysis. In all geographic areas, invasive pneumococcal disease exhibited a distinct winter seasonality, including an increase among children in the fall preceding that for adults and a sharp spike in incidence among adults each year between December 24 and January 7. Pneumococcal disease correlated inversely with temperature (r –0.82 with a 1-week lag; p<0.0001), but paradoxically the coldest states had the lowest rates, and no threshold temperature could be identified. The pattern of disease correlated directly with the sinusoidal variations in photoperiod (r +0.85 with a 5-week lag; p<0.0001). Seemingly unrelated seasonal phenomena were also somewhat correlated. The reproducible seasonal patterns in varied geographic locations are consistent with the hypothesis that nationwide seasonal changes such as photoperiod-dependent variation in host susceptibility may underlie pneumococcal seasonality, but caution is indicated in assigning causality as a result of such correlations.